evaluation-filtering
Orchestrates multi-dimensional evaluation and tiered filtering of ideas into high-quality selections.
Install
mkdir -p .claude/skills/evaluation-filtering && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11662" && unzip -o skill.zip -d .claude/skills/evaluation-filtering && rm skill.zipInstalls to .claude/skills/evaluation-filtering
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Multi-dimensional evaluation and tiered filtering of generated ideas.Key capabilities
- →Score ideas on novelty dimensions
- →Assess initial feasibility for high-tier ideas
- →Rank ideas by a composite score
- →Select top ideas based on novelty and feasibility
- →Report tier distribution of evaluated ideas
How it works
The skill evaluates ideas through four stages: novelty assessment, feasibility signal, ranking, and selection, using defined scoring and passing criteria.
Inputs & outputs
When to use evaluation-filtering
- →Filtering brainstormed features
- →Evaluating innovation pipeline
- →Ranking project proposals
About this skill
Evaluation Filtering
Multi-dimensional evaluation and tiered filtering of generated ideas.
Stages
Stage 1: Novelty Assessment
Score all ideas on novelty dimensions using novelty-scoring SOP. Assign tier: BREAKTHROUGH / HIGH / MODERATE / INCREMENTAL.
Stage 2: Feasibility Signal
For HIGH and BREAKTHROUGH tier ideas, assess initial feasibility:
- Technical feasibility (can it be built with known methods?)
- Resource feasibility (reasonable cost/time/expertise?)
- Constraint satisfaction (does it meet stated requirements?)
This is a signal, not a deep validation — that's the convergence repo's job.
Stage 3: Ranking
Rank ideas by composite score: novelty (0.6) × feasibility signal (0.2) × completeness (0.2).
Stage 4: Selection
Select top ideas for output. All BREAKTHROUGH ideas pass regardless of feasibility. HIGH ideas pass if feasibility ≥ MEDIUM. MODERATE ideas pass only if they fill a coverage gap.
Minimum Yield
| Metric | Floor |
|---|---|
| Ideas evaluated | all generated ideas |
| Ideas scored on all dimensions | 100% |
| Tier distribution reported | yes |
| Top ideas selected | ≥5 (or all BREAKTHROUGH + HIGH) |
Available SOPs
| SOP | Role |
|---|---|
| novelty-scoring | Stage 1 — multi-dimensional novelty assessment |
| constraint-injection | Stage 2 — test feasibility under constraints |
| idea-synthesis | Stage 3 — refine top ideas into complete descriptions |
| saturation-detection | Pre — determine if enough ideas exist to evaluate |
When not to use it
- →When only a single dimension of evaluation is needed
- →When a simple pass/fail filter is sufficient
Limitations
- →Feasibility assessment is an initial signal, not a deep validation
- →Selection criteria are based on predefined novelty and feasibility thresholds
How it compares
This skill orchestrates a multi-dimensional, tiered filtering process for ideas, providing a structured approach beyond simple idea categorization.
Compared to similar skills
evaluation-filtering side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| evaluation-filtering (this skill) | 0 | 1mo | No flags | Intermediate |
| scenario-war-room | 1 | 2mo | Review | Advanced |
| designing-analytics-projects | 0 | 3mo | No flags | Intermediate |
| product-manager-toolkit | 32 | 7mo | Review | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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